MixRF: A Random-Forest-Based Approach for Imputing Clustered Incomplete Data

It offers random-forest-based functions to impute clustered incomplete data. The package is tailored for but not limited to imputing multitissue expression data, in which a gene's expression is measured on the collected tissues of an individual but missing on the uncollected tissues.

AuthorJiebiao Wang and Lin S. Chen
Date of publication2016-04-06 09:43:04
MaintainerJiebiao Wang <randel.wang@gmail.com>
LicenseGPL
Version1.0
https://github.com/randel/MixRF

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Files

MixRF
MixRF/NAMESPACE
MixRF/data
MixRF/data/sim.rda
MixRF/R
MixRF/R/MixRF.impute.r
MixRF/R/MixRF.r
MixRF/MD5
MixRF/DESCRIPTION
MixRF/man
MixRF/man/MixRF-package.Rd MixRF/man/MixRF.impute.Rd MixRF/man/MixRF.Rd MixRF/man/sim.Rd

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